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Location: Switzerland Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. - Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem. - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. Location & Employment - Location: remote within Switzerland - Employment type: Full-time, permanent employment - Hiring model: Employment via Employer of Record (EOR) Candidates must already have the legal right to work in Switzerland, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: UK Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem. - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Serbia Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. - Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem. - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Germany Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. - Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem. - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Mountain View, California, USA Workplace: Hybrid About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem. - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. We believe in the power of in-person collaboration to solve the hardest problems and foster a strong team culture. We offer relocation assistance and look forward to you joining us in our Mountain View office. The base salary range for this full-time position is $270,000 - $430,000+ bonus + equity + benefits. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Remote About the Role We are building StartaleApp, a next-generation Web3 application that brings together a wide range of blockchain and DeFi functionality into a single user experience. The platform interacts with multiple blockchain networks, smart contracts, wallets, tokens, and on-chain protocols, creating complex flows that span frontend applications, backend services, blockchain infrastructure, and decentralized systems. As a Senior Software Development Engineer in Test (SDET) , you will own the engineering foundations of quality across the platform. Rather than simply writing automated tests, you will design and build the testing architecture, automation frameworks, developer tooling, CI/CD integrations, and AI-powered quality systems that enable the entire engineering organization to ship quickly and confidently. You will work across frontend applications, backend services, blockchain integrations, smart contracts, and DeFi functionality to ensure correctness, reliability, and security across complex real-world Web3 flows. This is a highly technical software engineering role focused on building quality systems, not performing manual testing. We are looking for engineers who enjoy building platforms, tooling, and automation that other engineers rely on every day. Key Responsibilities Quality Engineering Platform - Design, build, and evolve the company’s quality engineering platform. - Define testing architecture across unit, integration, contract, API, and end-to-end testing. - Build and maintain reusable testing frameworks, shared libraries, fixtures, and developer tooling. - Continuously improve developer experience around testing and quality engineering. AI-powered Quality Engineering - Design and implement AI-assisted quality engineering workflows throughout the software development lifecycle. - Build systems that leverage LLMs for automated test generation, test maintenance, failure analysis, root cause identification, and regression detection. - Develop internal tooling that combines traditional automation with AI to improve engineering productivity and software quality. - Continuously evaluate emerging AI technologies and integrate them into the team’s quality engineering practices. Test Automation & CI/CD - Build comprehensive automated test suites covering APIs, backend services, frontend applications, blockchain interactions, and Web3 user flows. - Integrate automated testing into CI/CD pipelines with fast feedback cycles and automated quality gates. - Optimize test execution through parallelization, intelligent test selection, caching, and infrastructure improvements. - Drive automation-first engineering practices across development teams. Web3 & DeFi Validation - Validate complex Web3 user flows involving wallets, authentication, token operations, smart contracts, and on-chain transactions. - Test interactions between frontend applications, backend services, blockchain networks, RPC providers, indexers, and smart contracts. - Validate transaction lifecycle and state transitions, including transaction submission, confirmation, failure, retries, reorgs, and delayed or inconsistent blockchain state. - Design automated regression suites covering critical Web3 and DeFi functionality. - Validate token transfers, swaps, liquidity operations, staking, lending, and other DeFi flows as applicable to the platform. - Test edge cases involving gas estimation, transaction failures, insufficient balances, slippage, network conditions, and blockchain state changes. Infrastructure, Performance & Reliability - Build and maintain containerized testing environments using Docker and modern infrastructure tooling. - Design contract, integration, and end-to-end testing strategies for distributed and blockchain-based systems. - Develop automated load, stress, endurance, and resilience testing for backend services and Web3 infrastructure. - Validate system behavior during degraded conditions, network failures, RPC failures, timeouts, blockchain congestion, transaction failures, and infrastructure outages. - Collaborate with engineering teams to improve system observability and accelerate production issue investigation. Qualifications Required Experience - 5+ years of experience in Software Development Engineer in Test (SDET), Quality Engineering, Test Automation, or Software Engineering roles. - Strong software engineering skills with JavaScript or TypeScript. - Experience designing testing architecture for complex distributed systems. - Experience building scalable automation frameworks and reusable testing libraries from scratch. - Strong experience with modern end-to-end testing frameworks such as Playwright or Cypress. - Strong experience testing APIs (REST, JSON-RPC, GraphQL, WebSocket, or similar). - Experience integrating automated testing into CI/CD pipelines. - Experience working with Docker and containerized testing environments. - Experience designing API, integration, contract, and end-to-end testing strategies. - Experience debugging distributed systems across frontend, backend, APIs, databases, and infrastructure. - Experience designing and implementing performance, load, and reliability testing. - Strong understanding of observability practices and production debugging. - Experience testing complex transactional, financial, distributed, or high-throughput systems. - Strong communication skills and the ability to collaborate effectively across engineering disciplines. Nice-to-Have - Professional experience testing Web3 applications, blockchain infrastructure, or DeFi protocols. - Strong understanding of blockchain fundamentals, smart contracts, wallets, tokens, RPCs, and on-chain transaction flows. - Experience testing DeFi functionality such as swaps, liquidity provision, staking, lending, borrowing, or other on-chain financial protocols. - Experience with blockchain testing frameworks, local networks, testnets, or smart contract development environments. - Experience designing AI-assisted testing systems or integrating LLMs into QA workflows. - Experience using AI for automated test generation, failure analysis, regression detection, code review, or test maintenance. - Experience evaluating and integrating AI tools to improve engineering productivity. - Experience with Kubernetes and cloud-native infrastructure. - Experience with observability platforms such as OpenTelemetry, Prometheus, Grafana, or Datadog.

Location: Argentina (Remote); Global | Remote; Mexico (Remote); India (Remote) Workplace: Remote Key Responsibilities: 1. End-to-End Program Delivery & SLA Management - Manage the end to end project management workflow. - Able to complete project management tasks autonomously. - Able to take responsibility for end to end project deliverables in accordance with SLAs. - Ensure all projects are delivered on time as per customer SLA. - Establishes deadlines /ensures deadlines are feasible and completes tasks by said deadlines. - Effectively balances and manages priorities across a variety of task types and customers. - Responsiveness to internal and external comms within pre-defined SLAs. - Responds quickly and efficiently to internal and external stakeholders. 2. Resource Strategy & Team Leadership - Responsible for maintaining resources, core teams and pipeline to support project management work. - Identifies resource requirements for production work. - Performs self-sourcing in our existing vendor database and enters sourcing requests when new vendors are needed. - Manage linguist communication for all projects. - Able to define and delegate admin work to PCs Interns. - Train supporting resources on key production processes and methodology. 3. Quality, Risk, & Financial Assurance - Responsible for CM, Quality and OTD KPIs. - Manage quality at project level - including Review, Verification, QA, LQE. - Manage quality complaints and feedback received from stakeholders. - Risk analysis to identify risks, potential issues, plan to and mitigate them. - Completes ongoing risk assessment and mitigation for all production areas. - Escalates issues or problems to manager in an effective manner, along with proposed solutions. - Raise Customer Support tickets for 100% of production blockers (Jira). - Process and approves invoicing and payments. - Provides insight to Strategist into revenue forecasts based on production volume. 4. Technical Execution & Process Governance - Demonstrates a deep understanding of all production workflows and processes related to their accounts. - Asks pertinent questions to ensure full comprehension of the task in hand; Strictly follows Production SOPs and best practices. - Consistently follow correct protocols for tasks and accounts. - Monitor and enforce adherence to correct production procedures. - Develop and maintain process documentation related to their task load and the tasks delegated to other resources. - Utilize systems and tools released by Production Enablement. - Ensure all system admin, including data entry, is accurate. - Perform file analysis and engages with Solutions team for support on file types. - Creates and monitors linguistic assets (TM, Style Guides, reference material). Skills and Experience: - A Bachelor’s degree, or equivalent; Master’s degree preferred - 2+ years of professional experience in a field similar or related to Localization Project Management - Excellent client-facing and internal communication skills - Solid organizational skills including meticulous attention to detail and multitasking skills - Able to meet deadlines and work under pressure AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | New York, NY | San Francisco, CA or London, UK (Hybrid) About the role You'll design and build the core infrastructure that powers AI inference across Cloudflare's global network — real-time voice, frontier open LLMs, and customer-deployed models running on a heterogeneous fleet of GPUs and next-generation accelerators in hundreds of cities worldwide. Working alongside AI/ML engineers, hardware partners, and Cloudflare product teams, you'll solve hard problems in distributed systems and high-performance computing: sub-second model cold starts, multi-accelerator workload scheduling, efficient KV cache management, and a model deployment platform serving both Cloudflare and customers bringing their own models. We're building an AI inference platform embedded in the fabric of the internet — something that doesn't exist yet — and this role puts you at the center of it. We're looking for high-agency systems engineers who are energized by foundational infrastructure problems and want to define how AI runs at the edge of the network. Responsibilities Platform Architecture: Develop and maintain core components of the serverless inference platform to ensure high availability and scalability for Cloudflare users. Optimization & Performance: Optimize the model scheduling system to significantly increase efficiency and resource utilization across our inference infrastructure, and implement improvements to request routing logic to reduce latency for end-users. System Reliability: Drive significant, measurable improvements in the platform's reliability and resilience by identifying and mitigating systemic risks. Observability: Expand and refine the observability stack (metrics, logging, tracing) and fine-tune alerts to proactively identify and resolve production issues. Technical Leadership: Lead complex, cross-functional technical projects from initial concept and design through final deployment and operationalization. Mentorship: Act as a mentor to junior engineers and actively contribute to cultivating a strong, collaborative engineering culture within the team. Desirable skills, Knowledge & Experience Proven experience in systems engineering, with a primary focus on distributed, high-performance systems. Expert proficiency in Rust programming, particularly in an asynchronous environment. Deep understanding and hands-on experience with relevant networking and application protocols (e.g., TCP, HTTP, WebSocket). Solid experience with scaling and performance optimization techniques, including load balancing and caching in a distributed environment. Bonus Points Demonstrable experience with container orchestration platforms, specifically Kubernetes and/or Nomad . Familiarity with the unique architectural challenges involved in large-scale inference serving (e.g., LLMs and diffusion models). Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $194,000 - $266,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Paris; New York; US (EST); US Workplace: Remote ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. LOCATION Remote (Europe only, from GMT to GMT+2 to ensure sufficient overlap with the rest of the team). HOW WE WORK We move fast on hard problems in a nascent market with no set playbook: navigating uncertainty is part of the job. You'll be challenged: anyone can question work and decisions must be justified. We keep a high bar and match it with high support: we help each other unblock and share context openly, with low ego. More about our values: morpho.org/jobs http://morpho.org/jobs. ROLE The mission of this role is to build and own the backend systems that power Morpho's consumer-facing products: reliable, performant APIs and data pipelines that serve accurate financial data to users at scale. RESPONSIBILITIES - Develop backend features using TypeScript and Node to deliver clear product outcomes for the Morpho Consumer team. - Design and evolve APIs (REST, GraphQL, …) and data models to expose accurate, secure financial data to the frontend with sub-second response times. - Operate and improve PostgreSQL-backed data pipelines to ensure performance, reliability, and availability as transaction volumes grow. - Collaborate closely with frontend engineers and product to scope, ship, and iterate on end-to-end features across the Consumer product. - Identify and implement architecture improvements: improving data processing, caching, and API layer design to simplify systems and reduce operational burden. - Monitor, troubleshoot, and resolve production issues to maintain a high-quality user experience. - Write clear, concise documentation and async updates to keep stakeholders aligned across time zones. WHAT SUCCESS LOOKS LIKE FIRST 30 DAYS Ramped up on the Consumer API, codebase, and delivery practices. Shipped the first meaningful feature safely to production. Established clear async communication habits and collaboration rhythms with product and frontend peers. FIRST 4 MONTHS Owns delivery of scoped features end-to-end. Identifying and starting to implement architecture improvements to the API and data processing layer. Contributing to higher reliability through better observability, testing, and incident response. IN 1 YEAR The go-to engineer for the Consumer API, with deep functional and technical context. Consistently delivering high-impact features and taking full ownership of architecture decisions within the Consumer vertical. MUST-HAVE EXPERIENCE & SKILLS - 8-10+ years of backend development experience in production TypeScript/Node environments. - Hands-on experience with REST APIs and relational databases, especially PostgreSQL. - Experience working on a backend-for-frontend stack, or collaborating closely with frontend teams to serve product data. - Track record operating production systems at scale: reliability, observability, and performance under real load. - Strong interest in the Web3 ecosystem and comfort learning the DeFi domain. - Comfort operating in fast-changing, ambiguous environments where priorities shift. - Strong ownership and autonomy: takes responsibility for outcomes end-to-end. - Clear and crisp async communication: writes well and keeps distributed teams aligned. - Team-first mindset, low ego. - Humble. PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia At JetBrains, we are passionate about boosting developer productivity. Since our inception, we've been creating tools that eliminate repetitive tasks, simplify workflows, and empower developers to focus on what they do best: creating amazing things with code. JetBrains IDEs enable millions of developers worldwide to achieve their full potential. As JetBrains continues to grow, so does the amount and complexity of cross-team work. At the same time, AI is increasing both the pace of change and the coordination load across the company. To keep growing while continuing to build great products, we want to strengthen our execution. We’re now looking for a Senior Technical Program Manager to help us run complex cross-team technical programs, raise execution quality and improve planning, delivery predictability, and escalation discipline for complex work. In this role, you will: Lead the most complex cross-team technical programs in your primary domain. Make sure complex work across the domain is planned, coordinated, and executed to a consistently high standard. Surface risks, blockers, and capacity issues early, and drive mitigation or escalation when local coordination is not enough. Serve as the senior PMO-side escalation point when complex delivery work in the domain gets stuck. Keep program status accurate by verifying execution rather than only collecting updates. Work with product, engineering, quality, and service teams to define goals, scope, milestones, dependencies, and key decisions. Build workable program plans and coordination cadences, and clarify resourcing needs with the teams involved. Coach TPMs and other part-time program leads across the domain and, where the setup includes full-time TPMs, manage them directly. Partner closely with product, engineering, quality, and service teams without taking over their decision-making authority. Typical programs may include sunsetting a feature or product, rolling out a major feature, driving a large technical refactoring effort, or coordinating the response to a major customer or partner escalation that becomes complex cross-team work. You’ll work primarily within one domain, such as one of our IDEs, a major functional area in an IntelliJ-based product, or another area with heavy cross-department dependencies, while also contributing to cross-domain priorities as part of the PMO team when needed. We will be happy to have you on our team if you have: A proven track record of leading complex software programs or other cross-team initiatives from start to finish. The ability to influence without direct authority, challenge assumptions constructively, and work effectively across product, engineering, quality, and other functions. Strong negotiation, facilitation, and escalation judgment. The ability to manage multiple parallel initiatives effectively, prioritize well, and keep execution plans tied to reality. Experience coaching other program or project managers and improving execution quality beyond your own work. Enough technical depth to sanity-check feasibility claims, dependency chains, and delivery risk in a technical environment. A technical background or experience working closely with software development teams. At least 5 years of program or project management experience in the tech industry. Excellent communication skills in English, both written and verbal. A strong understanding of how complex software programs are structured, planned, and driven through delivery; formal PM training or certification is a plus. Experience with IntelliJ IDEA, PyCharm, JetBrains tools, or other developer-focused products would be a plus. If selected, we’ll give you the opportunity to: Work on tools that help developers become better versions of themselves. Be part of a team that values collaboration, creativity, and impact. Enjoy a flexible, supportive work environment designed to help you succeed. Embrace the opportunity to shape the future of developer productivity. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family. Learning and development opportunities. Access to conferences, courses, and language classes. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Toronto, Ontario, Canada Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Issues are the core of Sentry where it turns billions of events a day into actionable problems for developers to resolve. For most of its history, that has meant a long list of individual problems to work through, but that's changing. Sentry should tell you what's happening: that something broke ten minutes ago, what changed, who's affected and what's already being done about it. Seer works out the root cause and drafts a fix or hands it to a coding agent, and a person steps in only when needed. That only works if the platform underneath can be trusted. It has to see the incident, not just the individual symptoms. It needs a complete record of what happened and who, or what, did it. And every query a human or an agent asks has to come back fast. As a Staff Software Engineer on the Issues team, you'll set technical direction for the core system that makes this work. This space is moving fast and we expect what we ship to dramatically evolve as agents take on more of the work. IN THIS ROLE YOU WILL - Set technical direction for the Issue Platform. Own how issues are stored and queried, and lead how that evolves over the next several quarters. - Move Sentry from a list of problems to a picture of what's happening. Recognize when dozens of errors, alerts and detected problems are one incident, group them by root cause, and surface what matters without adding noise. - Make everything that happens to an issue queryable. Every issue builds up a history of events and of what people and agents have done with it. Make that history fast to search, filter and build on, for people in the UI and agents over the API, across PostgreSQL, ClickHouse and the Kafka pipelines that feed them. - Lead across teams and grow the engineers around you. Work closely with our Ingest, AI/ML and Issues teams, and help the engineers around you take on larger, more ambiguous problems. YOU’LL LOVE THIS JOB IF YOU - Are comfortable when the ground keeps moving. How developers handle production problems is changing every few months. You'd rather build a system for what's coming than tune the old one forever. - Want your systems to have a new kind of user. People and agents, including Seer, MCP clients and third-party tools, now act on the same issues. The system you build determines how effective they can be without a human. - Champion product quality and user experience. Build features that don't just work, they delight. You understand that milliseconds matter in the developer experience. You sweat the details of interfaces, error messages, loading states, and edge cases. - Want to use what you build. We debug Sentry with Sentry every day. You'll be responsible for what you ship, and you'll use that experience to shape what we build next. QUALIFICATIONS - 8+ years of software engineering, much of it on large-scale backend systems in Python - You've set technical direction for a high-scale distributed system and led it across teams, from design doc to rollout - You've built or scaled a search or query system over large, fast-changing data - You've replaced a system you designed once the problem changed, and brought the team with you - You’re comfortable moving quickly and iterating toward an ideal solution - You're product-minded, with enough full-stack range to design from ingestion to the browser - You communicate clearly in writing and in person EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Issues are the core of Sentry where it turns billions of events a day into actionable problems for developers to resolve. For most of its history, that has meant a long list of individual problems to work through, but that's changing. Sentry should tell you what's happening: that something broke ten minutes ago, what changed, who's affected and what's already being done about it. Seer works out the root cause and drafts a fix or hands it to a coding agent, and a person steps in only when needed. That only works if the platform underneath can be trusted. It has to see the incident, not just the individual symptoms. It needs a complete record of what happened and who, or what, did it. And every query a human or an agent asks has to come back fast. As a Staff Software Engineer on the Issues team, you'll set technical direction for the core system that makes this work. This space is moving fast and we expect what we ship to dramatically evolve as agents take on more of the work. IN THIS ROLE YOU WILL - Set technical direction for the Issue Platform. Own how issues are stored and queried, and lead how that evolves over the next several quarters. - Move Sentry from a list of problems to a picture of what's happening. Recognize when dozens of errors, alerts and detected problems are one incident, group them by root cause, and surface what matters without adding noise. - Make everything that happens to an issue queryable. Every issue builds up a history of events and of what people and agents have done with it. Make that history fast to search, filter and build on, for people in the UI and agents over the API, across PostgreSQL, ClickHouse and the Kafka pipelines that feed them. - Lead across teams and grow the engineers around you. Work closely with our Ingest, AI/ML and Issues teams, and help the engineers around you take on larger, more ambiguous problems. YOU’LL LOVE THIS JOB IF YOU - Are comfortable when the ground keeps moving. How developers handle production problems is changing every few months. You'd rather build a system for what's coming than tune the old one forever. - Want your systems to have a new kind of user. People and agents, including Seer, MCP clients and third-party tools, now act on the same issues. The system you build determines how effective they can be without a human. - Champion product quality and user experience. Build features that don't just work, they delight. You understand that milliseconds matter in the developer experience. You sweat the details of interfaces, error messages, loading states, and edge cases. - Want to use what you build. We debug Sentry with Sentry every day. You'll be responsible for what you ship, and you'll use that experience to shape what we build next. QUALIFICATIONS - 8+ years of software engineering, much of it on large-scale backend systems in Python - You've set technical direction for a high-scale distributed system and led it across teams, from design doc to rollout - You've built or scaled a search or query system over large, fast-changing data - You've replaced a system you designed once the problem changed, and brought the team with you - You’re comfortable moving quickly and iterating toward an ideal solution - You're product-minded, with enough full-stack range to design from ingestion to the browser - You communicate clearly in writing and in person EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building highload products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. Now we look for a Data Scientist to join our ML team Job Responsibilities Search & Retrieval Develop and improve retrieval pipelines for large-scale production search systems. Work on candidate generation, query processing, matching, filtering, and retrieval strategies. Improve search relevance, result coverage, and overall SERP quality. Analyse failed searches, irrelevant results, zero-result queries, and other search-quality issues. Explore lexical, semantic, behavioural, hybrid, and vector search approaches. Ranking & Relevance Build, train, and optimise ranking models for search and recommendation systems. Develop learning-to-rank solutions using behavioural, content-based, contextual, and real-time features. Design ranking features based on clicks, conversions, popularity, freshness, availability, and user behaviour. Evaluate ranking quality using Precision, Recall, NDCG, MAP, MRR, and related relevance metrics. Optimise models for low-latency inference and investigate relevance degradation, bias, and feedback loops. Recommendation Systems Develop recommendation models and candidate-generation strategies for personalised and non-personalised scenarios. Build recall and ranking stages for multi-stage recommendation pipelines. Work on related-item, complementary-item, next-action, and behavioural recommendation use cases. Develop user, item, session, and contextual representations. Balance relevance, diversity, novelty, coverage, and business constraints. Experimentation & Evaluation Design and run offline and online experiments for search, ranking, and recommendation improvements. Build evaluation frameworks that connect model quality with product and business outcomes. Design and analyse A/B tests using CTR, conversion, engagement, retention, and revenue-related metrics. Create reproducible pipelines for data preparation, model training, evaluation, and comparison. Evaluate model robustness across traffic segments, query groups, user cohorts, and edge cases. ML Pipelines & Collaboration Build end-to-end ML pipelines for feature generation, training, validation, deployment, and monitoring. Work with high-load, real-time, and low-latency production systems. Process large datasets using Python, SQL, batch pipelines, streaming systems, and Kafka. Collaborate with product, backend, data engineering, and MLOps teams to productionise ML solutions. Communicate technical decisions, experiment results, and trade-offs while contributing to ML best practices. You’ll thrive here if you have Strong hands-on experience building production search, ranking, or recommendation systems. Strong Python and SQL skills for machine learning, data processing, and analytical queries. Practical experience with learning-to-rank, candidate retrieval, search relevance, or recommender-system modelling. Experience building and evaluating multi-stage retrieval and ranking pipelines. Strong understanding of search and recommendation metrics, including Precision, Recall, NDCG, MAP, MRR, CTR, and conversion. Experience with feature engineering and behavioural data such as impressions, clicks, sessions, and conversions. Experience with ML libraries such as scikit-learn, XGBoost, LightGBM, CatBoost, PyTorch, or TensorFlow. Experience working with large-scale production systems, distributed data processing, analytical databases, and streaming platforms. Strong understanding of experimentation and A/B testing, with the ability to independently build, and validate ML solutions. That can be a plus: Experience with Elasticsearch, OpenSearch, Solr, Lucene, or another search-engine stack. Experience with vector databases, approximate nearest neighbour search, and hybrid lexical-semantic retrieval. Experience with query understanding, classification, spell correction, synonyms, or query expansion. Experience with DSSM, two-tower models, BERT-based ranking, cross-encoders, or similar neural architectures. Experience with large-scale data and ML platforms such as Airflow, MLflow Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation. Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey. A culture of recognition: a peer reward program to celebrate your contributions. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities. Recruitment process HR interview (40 min); Technical interview (1.5 hour); Final interview (45 min).

Location: Rijeka Workplace: remote CSM Rijeka is looking for self-motivated and skilled seafarers to join our expanding fleet of Columbia Shipmanagement.   JOB DESCRIPTION AND QUALIFICATION    Overall ship's command and responsibility to ensure safety of crew, cargo and environmental protection. Ensure compliance with all regulatory and company requirements Plan and execute voyages efficiently Supervise cargo operations (loading, stowage, securing, discharge) Lead crew, enforce safety procedures, and conduct drills Handle emergencies and maintain all documentation & reporting  Holder of valid COC (STCW Reg II/2) with verification. Holder of valid STCW certifications required for the position. Experience with multicultural working environment. Good communication and leadership skills. Fluent in written and spoken English language. Safety culture and mindset.   VESSEL'S SPECIFIC REQUIREMENTS   Minimum experience requirements: 4 months in Rank with the same type/size of vessel. Experience onboard same vessel tonnage is mandatory. Experience in Steam Turbines cargo pump system is recommended. Experience with Crude Oil and STS cargo operations. Experience in trading area USA and Australia is recommended.   CONTRACT TERMS & CONDITIONS   Contract Duration [4 months +/- 1 months] Contract Benefit: Competitive salary  Terms and condition as per CBA applicable Rejoining and Performance Bonus Free Internet onboard and wellbeing support   You may include with your application any reference, specific job qualification, and your availability date. Looking forward to welcoming you in the Columbia Group Family.

Location: Rijeka Workplace: remote CSM Rijeka is looking for self-motivated and skilled seafarers to join our expanding fleet of Columbia Shipmanagement. JOB DESCRIPTION AND QUALIFICATIONS Overall command of the vessel, ensuring safe navigation and operations. Ensure compliance with all regulatory and company requirements. Plan and execute voyages efficiently. Supervise cargo operations (loading, stowage, securing, discharge). Lead crew, enforce safety procedures, and conduct drills. Handle emergencies and maintain all documentation & reporting.   Holder of a valid COC (STWC Reg II/2) with verification. Holder of valid STCW certifications required for the position. Experience with a multi-cultural working environment. Good communication and leadership skills. Fluent in the written and spoken English language. Safety culture and mindset.   VESSEL'S SPECIFIC REQUIREMENTS   Minimum experience requirements: 9 months in rank on the same type/size of vessel. Experience in trading area USA and Australia is recommended.   CONTRACT TERMS & CONDITIONS   Contract Duration [4 months +/- 1 months] Contract Benefit: Competitive salary Terms and conditions as per CBA applicable Rejoining and Performance Bonus Free Internet onboard and wellbeing support   You may include with your application any reference, specific job qualification, and your availability date. Looking forward to welcoming you in the Columbia Group Family.

Location: Bengaluru Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Software Engineer on the Product team at Harvey, you'll play a critical role in designing and building new backend systems while equally scaling and strengthening our existing infrastructure. Our backend infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform. You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers. This role is based in Bengaluru, India. WHAT YOU'LL DO - Design and build scalable, fault-tolerant backend infrastructure systems that power Harvey's AI platform across multiple cloud regions - Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management - Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues - Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms - Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint - Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments - Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership - Representative Projects - Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration - Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience - Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers - Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking - Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability WHAT YOU HAVE - 10+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment - Long track record building and scaling complex, large-scale distributed systems - Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well) - Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation - Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale - Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io) - Strong programming skills in Python, Go, or similar languages - Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence NICE TO HAVE - Experience building infrastructure for AI/ML workloads or high-throughput inference systems - Background with distributed rate limiting, load balancing, or quota management systems - Experience operating multi-tenant platforms with strict security and compliance requirements - Track record of leading complex cross-functional projects and delivering measurable impact ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice. #LI-AS2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

О ПРОЕКТЕ Мы строим инфраструктуру для передовой криптовалютной биржи и ищем Senior-разработчика, который усилит наше бэкенд-ядро. Вам предстоит работать над архитектурой, где во главе угла стоят экстремальные нагрузки, безопасность и работа с данными в реальном времени. ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ — Core Development: Проектирование и разработка бэкенд-систем и микросервисов на .NET (C#). — Scalability: Создание архитектур для ключевых компонентов биржевого движка. — Performance: Обеспечение Low-latency, High Availability и отказоустойчивости всех сервисов. — Connectivity: Разработка и обслуживание высокоскоростных REST API и WebSocket-каналов. ЧТО МЫ ЖДЕМ ОТ ВАС — Опыт: 5+ лет коммерческой разработки на .NET Core и C#. — Architecture: Уверенная работа с микросервисами и облачными провайдерами (AWS, Azure). — Data: Практический опыт в моделировании данных, оптимизации SQL/NoSQL запросов и обработке Big Data. — High-Load: Понимание принципов построения торговых систем, финтех-платформ или Betting/Gaming движков будет огромным плюсом. — Domain: Базовое понимание блокчейна и специфики криптотрейдинга. ПОЧЕМУ ЭТО КРУТО? — Прямое участие в формировании инфраструктуры глобальной криптобиржи. — Возможность решать сложные инженерные задачи в Low-latency среде. — Полная свобода выбора локации и гибкие условия оплаты.

Location: Poland; Mexico; Colombia; Romania; Brazil; United Kingdom About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We’re hiring a VP of Automation Engineering for a senior, hands-on leadership role at the intersection of automation architecture, product engineering, and AI systems . This is not a traditional management-only role. You’ll be expected to operate as a technical leader who still ships code, designs systems, manages engineers, and partners directly with the founder on strategy. You’ll own and scale the automation infrastructure that powers delivery across multiple clients while also building internal and external products that turn operational know-how into software. This role is ideal for someone with deep n8n , JavaScript/TypeScript , Node.js , and Claude Code / LLM systems experience who has previously built automation infrastructure in a fast-scaling startup, agency, or services environment. Key Responsibilities Automation Architecture & Infrastructure Own the company’s end-to-end automation ecosystem, including workflow design, orchestration, monitoring, versioning, and scaling. Build reliable, queue-based and event-driven automation systems that can support increasing client complexity without breaking under load. Architect multi-client automation infrastructure that supports different workflows, channels, cadences, and configurations across shared systems. Design and maintain integrations across tools such as n8n, Clay, Airtable, Slack, HubSpot, EmailBison, HeyReach , and other operational platforms. Implement robust error handling, alerting, and self-healing workflows to improve reliability and reduce downtime. Establish scalable standards for workflow documentation, deployment, credential management, and system governance. Product Development Build internal products that transform operating processes into repeatable software, including dashboards, reporting tools, signal engines, and AI-powered workflow systems. Lead the full product engineering lifecycle from architecture and implementation through testing and deployment. Develop client-facing tools and automation products that extend the company’s value beyond services. Set best practices for code quality, documentation, CI/CD, review processes, and release management. AI Systems & Intelligence Layer Design and deploy production-grade AI systems using Claude, OpenAI , and other LLM infrastructure. Build intelligent workflows for classification, generation, summarization, decision support, and operational automation. Determine where AI adds leverage versus where deterministic systems are the better architectural choice. Improve the quality and reliability of AI systems through prompt design, evaluation, validation layers, fallback logic, and cost-aware implementation. Team Leadership & Technical Direction Build, mentor, and manage a growing automation engineering team. Set engineering priorities, run sprint planning and retrospectives, and establish a high-performance delivery culture. Partner directly with the CEO/Founder as a senior technical counterpart on roadmap, systems design, and build-vs-buy decisions. Help shape the long-term technical organization, with clear progression toward a CTO-level leadership path. Requirements Non-Negotiable Deep production-level experience with n8n , including complex workflows, webhook architectures, credentials, execution logic, error handling, and workflow scalability. Strong full-stack development skills in JavaScript/TypeScript , including Node.js backend systems and modern frontend development such as React or equivalent. Experience managing engineering teams of 3+ people while remaining actively hands-on in production code. Proven experience building and maintaining AI/LLM systems in production , including model integration, prompt workflows, output validation, token/cost awareness, and fallback design. Strong systems architecture capability with a track record of designing for scale, maintainability, observability, and resilience. Strategic technical leadership experience with the ability to translate business priorities into technical systems and product decisions. Strongly Preferred Experience in an agency, services, or multi-client delivery environment with shared infrastructure and varied customer requirements. Experience building products with real users, feedback loops, and iteration cycles—not just internal admin tools. Daily working experience with Claude or Claude Code as part of the development workflow. Familiarity with tools such as Clay, Airtable, HubSpot, Slack APIs , and email infrastructure. Experience with cloud infrastructure such as AWS, GCP , or similar platforms, including deployment, monitoring, and cost management. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals